51 citations · 62 across the 7 of their papers we have counts for
7 papers
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images
Nazanin Moradinasab, Yash Sharma, Laura S. Shankman +2
Two major causes of death in the United States and worldwide are stroke and myocardial infarction. The underlying cause of both is thrombi released from ruptured or eroded unstable…
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation
Yash Sharma, Sana Syed, Donald E. Brown
In this work, we propose a mutual information (MI) based unsupervised domain adaptation (UDA) method for the cross-domain nuclei segmentation. Nuclei vary substantially in structur…
Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network
Yash Sharma, Nick Coronato, Donald E. Brown
Exercise testing has been available for more than a half-century and is a remarkably versatile tool for diagnostic and prognostic information of patients for a range of diseases, e…
HistoTransfer: Understanding Transfer Learning for Histopathology
Yash Sharma, Lubaina Ehsan, Sana Syed +1
Advancement in digital pathology and artificial intelligence has enabled deep learning-based computer vision techniques for automated disease diagnosis and prognosis. However, WSIs…
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
Yash Sharma, Aman Shrivastava, Lubaina Ehsan +3
In recent years, the availability of digitized Whole Slide Images (WSIs) has enabled the use of deep learning-based computer vision techniques for automated disease diagnosis. Howe…
Improving Low Resource Code-switched ASR using Augmented Code-switched TTS
Yash Sharma, Basil Abraham, Karan Taneja +1
Building Automatic Speech Recognition (ASR) systems for code-switched speech has recently gained renewed attention due to the widespread use of speech technologies in multilingual…